High-dimensional limit theorems for random vectors in -balls
arXiv:1709.09470
Abstract
In this paper, we prove a multivariate central limit theorem for -norms of high-dimensional random vectors that are chosen uniformly at random in an -ball. As a consequence, we provide several applications on the intersections of -balls in the flavor of Schechtman and Schmuckenschläger and obtain a central limit theorem for the length of a projection of an -ball onto a line spanned by a random direction . The latter generalizes results obtained for the cube by Paouris, Pivovarov and Zinn and by Kabluchko, Litvak and Zaporozhets. Moreover, we complement our central limit theorems by providing a complete description of the large deviation behavior, which covers fluctuations far beyond the Gaussian scale. In the regime this displays in speed and rate function deviations of the -norm on an -ball obtained by Schechtman and Zinn, but we obtain explicit constants.